Kinetics of Materials - R. Balluff S. Allen W. Carter (Wiley 2005) WW Part 11 pptx

EXERCISES 385 of the edge and corner grains? Under the same assumptions that apply for the (N - 6)-rule, find how the growth of a side grain and a corner grain in a square specimen such as shown in Fig 15.17 depends on the number of neighboring grains, N It is reasonable to assume that the grain boundaries are maintained perpendicular to the edges of the sample at the locations of their intersections, as shown Local interface-tension equilibration obtains and Young’s equation is satisfied Corner grain Side grain Figure 15.17: Two-dimensional grain growth on a square domain Solution As shown in Fig 15.17, for side grains and corner grains the number of triple junctions is one less than the number of neighboring grains, N For the side grains, the inclination o f the boundary normal changes by 7r from one end t o the other: (N-4) 7r 1-3 (15.55) Side grains with more than four neighboring grains therefore grow For the corner grains, the change is 7r/2: (15.56) Since there is no integer number of neighbors that can produce constant area for a corner grain, it is impossible t o stabilize grain growth on a rectangular domain 15.4 (a) A cylindrical grain of circular cross section embedded in a large singlecrystalline sheet is shrinking under the influence of its grain-boundary energy Find an expression for the grain radius as a function of time Assume isotropic boundary energy, y, and a constant grain-boundary mobility, M B (b) Derive a corresponding expression for a shrinking spherical grain embedded in a large single crystal in three dimensions Solution (a) The grain area, A , is related t o its radius, Eq 15.30, dA - = -27ThfB’)’ dt R,by A = dR = 2rR- dt 7rR2 Therefore, using (15.57) Integration o f Eq 15.57 then yields R ( t ) R2(0) - M ~ y t = (15.58) 386 CHAPTER 15: COARSENING DUE TO CAPILLARY FORCES (b) Here, the velocity o f the spherical interface normal t o itself is given by Eq 15.28 and, therefore, v = M B ~= MBY- = K Integration of Eq 15.59 then yields R dR -x (15.59) (15.60) and the spherical grain shrinks twice as fast as the cylindrical grain because of i t s larger curvature CHAPTER 16 MORPHOLOGICAL EVOLUTION DUE T O CAPILLARY AND APPLIED FORCES: DIFFUSIONAL CREEP AND SlNTERlNG Capillary forces induce morphological evolution of an interface toward uniform diffusion potential-which is also a condition for constant mean curvature for isotropic free surfaces (Chapter 14) If a microstructure has many internal interfaces, such as one with fine precipitates or a fine grain size, capillary forces drive mass between or across interfaces and cause coarsening (Chapter 15) Capillary-driven processes can occur simultaneously in systems containing both free surfaces and internal interfaces, such as a porous polycrystal Applied forces can also induce mass flow between interfaces When tensile forces are applied, atoms from an unloaded free surface will tend to diffuse toward internal interfaces that are normal to the loading direction; this redistribution of mass causes the system to expand in the tensile direction Applied compressive forces can superpose with capillary forces to cause shrinkage In this chapter, we introduce a framework to treat the combined effects of capillary and applied mechanical forces on mass redistribution between surfaces and internal interfaces Applications of this framework include diffusional creep in dense polycrystals and sintering of porous polycrystals Diffusional creep and sintering derive from similar kinetic driving forces Diffusional creep is associated with macroscopic shape change when mass is transported between interfaces due to capillary and mechanical driving forces Sintering occurs in response to the same driving forces, but is identified with porous bodies Sintering changes the shape and size of pores; if pores shrink, sintering also produces macroscopic shrinkage (densification) Kinetics of Materials By Robert W Balluffi, Samuel M Allen, and W Craig Carter Copyright @ 2005 John Wiley & Sons, Inc 387 388 CHAPTER 16 MORPHOLOGICAL EVOLUTION DIFFUSIONAL CREEP, AND SlNTERlNG Microstructures are generally too complex for exact models In a polycrystalline microstructure, grain-boundary tractions will be distributed with respect to an applied load Microstructures of porous bodies include isolated pores as well as pores attached to grain boundaries and triple junctions Nevertheless, there are several simple representative geometries that illustrate general coupled phenomena and serve as good models for subsets of more complex structures 16.1 MORPHOLOGICAL EVOLUTION FOR SIMPLE GEOMETRIES Both capillarity and stresses contribute to the diffusion potential (Sections 2.2.3 and 3.5.4) When diffusion potential differences exist between interfaces or between internal interfaces and surfaces, an atom flux (and its associated volume flux) will arise These driving forces were introduced in Chapter and illustrated in Fig 3.7 (for the case of capillarity-induced surface evolution) and in Fig 3.10 (for the case of shape changes due to capillary and applied forces) For pores within an unstressed body, the diffusion potential at a pore surface will be lower than a t nearby grain boundaries if the surface curvature is negative.' In this case, the material densifies as atoms flow from grain boundaries to the pore surfaces Conversely, macroscopic expansion occurs if the pore surface has average positive curvature An applied stress, as in Fig 16.1, can reverse the situation by modifying the diffusion potential on interfaces if their inclinations are not perpendicular to the loading direction With applied stress and capillary forces, the flux equations for crystal diffusion and surface diffusion are given by Eqs 13.3 and 14.2 For grain-boundary L A t Figure 16.1: A bundle of parallel wires bonded with grain-boundary segments An applied force per unit length of wire fapp is applied to each wire in the bundle The system shrinks if mass is transported from the boundaries of width into the pores w 'The sign of the average pore-surface curvature will generally be negative if the dihedral angles are large and the number of neighboring grains is small In two dimensions-if the pore-surface average pore-surface curvature will tension is equal to the grain-boundary surface tension-the be positive if there are more than six neighbors, and the pore can grow by absorbing vacancies from its abutting grain boundaries This is equivalent to the ( N -6)-rule (Eq 15.33) If the grain boundaries have variable tensions, pore growth or shrinkage will depend on the particular abutting grain boundary energies However, two-dimensional pores with more than Ncrit = ~ T / ( T ($)) abutting grains (where ($) is the average dihedral angle (2cos-' r B / ( r S ) ) ) will grow on the average 16.1: MORPHOLOGICAL EVOLUTION FOR SIMPLE GEOMETRIES 389 diffusion, the flux along a boundary under normal stress, u,,, is determined from Eqs 2.21, 3.43, and 3.84, As in surface diffusion (Eq 14.6), flux accumulation during grain-boundary diffusion leads to atom deposition adjacent t o the grain boundary The resulting accumulation causes the adjacent crystals t o move apart at the rate’ (16.2) Three conditions are required for a complete solution to the problems illustrated in Figs 3.10 and 16.1 If the grain boundary remains planar, d L / d t in Eq 16.2 must be spatially uniform-the Laplacian of the normal surface stress under quasisteady-state conditions must then be constant: V2unn constant = A = (16.3) Continuity of the diffusion potential at the intersection of the grain boundary and the adjoining surface requires that lbndy int = -7 S lbndy int (16.4) Finally, the total force across the boundary plane must be zero: ~ a p p = /lndy +1 0nndA yScos8ds (16.5) bndy int The physical basis for the three terms in Eq 16.5 is illustrated by Fig 16.2 for the geometry indicated by Fig 3.10.3 16.1.1 Evolution of Bamboo Wire via Grain-Boundary Diffusion For this case of an isotropic polycrystalline wire loaded parallel to its axis as illustrated in Fig 3.10b1Eqs 16.3 and 16.4 become4 V’a,, = d2ann dr2 lda,, + dr r = A = constant (16.6) Solving Eqs 16.6 subject to the symmetry condition (dann/drJr,o = 0), rT,,(T) A = -(r2 - RE) - 7% (16.7) ’This could be measured by observing the separation of inert markers buried in each crystal opposite one another across the boundary 3The justification for the projected interface contribution is presented elsewhere [l-41.The total is force Fapp that measured by a wetting balance [5] 4By symmetry, there is no angular dependence of unR 390 CHAPTER 16 MORPHOLOGICAL EVOLUTION: DIFFUSIONAL CREEP, AND SlNTERlNG Figure 16.2: Force-balance diagram for a body with capillary forces and applied load Fapp.The plane cuts the body normal.to the applied force There are two contributions from the body itself One is the projection of the surface capillary force per unit length (rS)onto the normal direction and integrated over the bounding curve The second is the normal stress onn integrated over the cross-sectional area-in the case of fluids bounded by a surface of uniform curvature K’, onn = ySnS [4] The constant A is determined from the force balance in Eq 16.5, (16.8) Using Young‘s force-balance equation (Eq 14.18), (16.9) at the grain boundary/surface intersection and the elongation rate (Eq 16.2) becomes ( 16.10) When the grain boundaries are not spaced too closely, the quantity T b a m b o o is generally negative because Rbn % is less than 2J1 - [yB/(2rS)I2and yB/(2yS) M 1/6 for metals T, the capillary shrinkage force, arises from a balance between reductions of surface and grain-boundary area If Fapp adjusted so that the is = elongation rate goes t o zero, Fapp - r b a m b o o , and this provides an experimental method t o determine yB/yS, and thus y” if is measured This is known as the Udin-Schaler-Wulff zero-creep method [6] Scaling arguments can be used to estimate elongation behavior Because K and 1/Rb will scale with and the grain volume, V, is constant, Eq 16.10 implies that dL (16.11) - cc L2 Fapp ) dt -@ s y + Jm ( 16.1 MORPHOLOGICAL EVOLUTION FOR SIMPLE GEOMETRIES 391 where ?“bamboo M -.irySRb is replaced by a term that depends on L alone Elongation proceeds according to5 16.1.2 Evolution of a Bundle of Parallel Wires via Grain-Boundary Diffusion For the boundary of width 2w in Fig 16.1, Eq 16.4 becomes ann(Z= * W ) = -7 S K (16.13) where K is evaluated a t the pore surface/grain boundary intersection Solving Eq 16.3 subject to Eq 16.13 and the symmetry condition (da,,/dz)l,=o = 0, a , x = -(x ,() A - w2) - % (16.14) where the grain-boundary center is located at x = The constant A can be determined from Eq 16.5, - 27 S KW - fapp (16.15) The shrinkage rate, Eq 16.2, becomes dL _ - - R A G * D ~ A 3R.46*DB (fapp + r w i r e s ) dt kT 2w3kT $ rwires = 2y’(~w - sin -) (16.16) If surface diffusion or vapor transport is rapid enough, the pores will maintain their quasi-static equilibrium shape, illustrated in Fig 16.1 in the form of four cylindrical sections of radius R.6 The dihedral angle at the four intersections with grain boundaries, $, will obey Young’s equation $ is related to by sin($/2) = cos An exact expression can be calculated for the quasi-static capillary force, Ywires, as a function of the time-dependent length L ( t ) Young’s equation places a geometric constraint among L ( t ) ,the cylinder’s radius of curvature R(t),and boundary width w ( t ) ; conservation of material volume provides the second necessary equation With Twire(L) and w ( L ) ,Eq 16.16 can be integrated This model could be extended to general two-dimensional loads by applying different forces onto the horizontal and vertical grain boundaries in Fig 16.1 The three-dimensional case, with sections of spheres and a triaxial load, could also be derived exactly 5An exact quasi-static [e.g., surfaces of uniform curvature (Eq 14.29)] derivation exists for this model [4] 6The Rayleigh instability (Section 14.1.2) of the pore channel is neglected Pores attached to grain boundaries have increased critical Rayleigh instability wavelengths [7] 392 16.1.3 CHAPTER 16: MORPHOLOGICAL EVOLUTION: DIFFUSIONAL CREEP, AND SlNTERlNG Evolution of Bamboo Wire by Bulk Diffusion Morphological evolution and elongation can also occur by mass flux (and its associated volume) from the grain boundary through the bulk t o the surface as illustrated in Fig ~ For elongation of a crystalline material, vacancies could be created at the grain boundary and diffuse through the grain to the surface, where they would be removed The quasi-steady-state rate of elongation can be determined by solving the boundary-value problem described in Section 3.5.3 involving the solution to Laplace’s equation V @= within each grain of the idealized bamboo structure ~ For isotropic surfaces and grain boundaries, @ A is given by Eqs 3.76 and 3.84 The expression for bulk mass flux is given by Eq 13.3, and using the coordinate system shown in Fig 3.10, symmetry requires that (16.17) If the grain boundary remains planar, the flux into the boundary must be uniform, (%) z=o = C = constant (16.18) Laplace’s equation in cylindrical coordinates is (16.19) Assuming that the solution to Eq 16.19 is the product of functions of z and r and using the separation-of-variables method (Section 5.2.4), @A = [c1sinh(kz) + cz cosh(kz)][c~J0(kr)c4Yo(kr)] + (16.20) where clrc2,c3,c4, and k are constants to be determined, and Jo and Yoare the zeroth-order Bessel functions of the first and second kinds Because @A(?- = 0) must be bounded, c4 = Introducing a new variable p ( r ,z ) that will necessarily vanish on the free surface, (16.21) The general solution to Eq 16.19 is the superposition of the homogeneous solutions, Jo(k,r) [b, sinh(k,z) p ( r ,z ) = + c, cosh(k,z)] (16.22) n The bamboo segment can be approximated as a cylinder of average radius Re, where nRZL = L nR2(z) z d (16.23) The boundary condition (Eq 3.76) is then approximated by @A=po+- Re or, equivalently, p ( r = R,, z ) = o (16.24) 16.1: MORPHOLOGICAL EVOLUTION FOR SIMPLE GEOMETRIES 393 The knR, quantities are the roots of the zeroth-order Bessel function of the first kind, Jo ( k R c ) = (16.25) The symmetry condition Eq 16.17 is satisfied if b, cosh(k,l/2) 0, and therefore, ~ ( r ), = C bnJo(knr) sinh(k,z) - coth n + c, sinh(knl/2) = (y )cosh(k,r)] (16.26) The planar grain-boundary condition given by Eq 16.18 is satisfied if The coefficients, b,kn, of Jo in this Bessel function series can be determined [8]: (16.28) The constant C can be determined by substituting Eqs 16.26 and 16.28 into the force-balance condition (Eq 16.5), (16.29) where The total atom current into the boundary is I A = -27rRz J A ; therefore, (16.31) B z [T coth(k,l/2) k2R2 B M 12 for L/Rc M [9] The elongation-rate expressions for grain-boundary diffusion (Eq 16.10) and bulk diffusion (Eq 16.31) for a bamboo wire are similar except for a length scale The approximate capillary shrinkage force 'Yapprox c y ~reduces to the exact force r b a m b o o as the segment shapes become cylindrical, Rb % R, % l/& However, because the grain-boundary diffusion elongation rate is proportional to *DB/R;f, while the bulk diffusion rate is proportional to *DXL/R2,grain-boundary transport will dominate at low temperatures and small wire radii 394 16.1.4 CHAPTER 16 MORPHOLOGICAL EVOLUTION DIFFUSIONAL CREEP, AND SlNTERlNG Neck Growth between Two Spherical Particles via Surface Diffusion Figure 16.3 illustrates neck growth between two particles by surface diffusion Surface flux is driven toward the neck region by gradients in curvature Neck growth (and particle bonding) occurs as a result of mass deposition in that region of smallest curvature Because no mass is transported from the region between the particle centers, the two spheres maintain their spacing at 2R as the neck grows through rearrangement of surface atoms This is surface evolution toward a uniform potential for which governing equations were derived in Section 14.1.1 However, the small-slope approximation that was used to obtain Eq 14.10 does not apply for the sphere-sphere geometry Approximate models, such as those used in the following treatment of Coblenz et al., can be used and verified experimentally [lo] /- I Overcut volume Figure 16.3: (a) Model for formation of a neck between two spherical particles due to surface diffusion (b) Approxiniation in which the surface diffusion zone within the saddleshaped neck regioii of (a) is mapped onto a riglit circular cylinder of radius t is the distance parameter in the diffusion direction Arrows parallel to the surface indicate surface-diffusion directions in hoth (a) and (11) From Coblenz et al [lo] Because of the proximity effect of surface diffusion, the flux from the regions adjacent to the neck leaves an undercut region in the neck ~ i c i n i t y Diffusion ~ along the uniformly curved spherical surfaces is small because curvature gradients are small and therefore the undercut neck region fills in slowly This undercutting is illustrated in Fig ~ Because mass is conserved, the undercut volume is equal to the overcut volume Conservation of volume provides an approximate relation between the radius of curvature, p, and the neck radius, x: (G) p =0.26~ 1/3 (16.32) This surface-diffusion problem can be mapped to a one-dimensional problem by approximating the neck region as a cylinder of radius x as shown in Fig 16.3b The fluxes along the surface in the actual specimen (indicated by the arrows in Fig ~ are mapped to a corresponding cylindrical surface (indicated by the ) arrows in Fig 16.3b) The zone extends between z = ~ ~ The flux equation has the same form as Eq 14.4, so that' JS x *Dsys dr; kT dz (16.33) 7The proxiniity effect is reflected in the strong wavelength dependence of surface smoothing (i.e., l / X in Eq 14.12) sEquation 16.33 ignores the relatively small effect of the increase in energy due to the growing grain boundary 410 CHAPTER 16 MORPHOLOGICAL EVOLUTION DIFFUSIONAL CREEP, AND SlNTERlNG Figure 16.11: Normal stresses and shear stresses present in two-dimensional polycrystal subjected to uniaxial applied stress, The geometry is the same as in Fig 16.4 Determine the shear stresses acting on the three types of boundary segments present When diffusion is extremely rapid, all differences in the diffusion potential will be eliminated, and all three normal stresses at the three different types of boundary segments will be uniform along each segment and equal to one another Therefore, on A = f B = ‘ n on C = cn (16.67) =0 (16.68) Also, if each grain is not to rotate, 0,” + u,” +: a Since the stresses in each grain are the same, the normal and shear stresses along planes PQ and RS can be found from the forces exerted on them by the applied stress, u , with the results uf = s i n e c o s e a ” e u,” = sin2 cr cos2 e + - sinecose c r t = [Icos2e+ -sinecose+ fl “ I + -sin2 e -sin20 u ( 16.69) u Next, each triangular shaded region in Fig 16.11 must be in mechanical equilibrium (i.e., the sum of the forces on it parallel and normal to PQ, or R S , must be zero) This leads to the conditions = - 2&u,” - u,B +2&u, +u,” =2u,D +u,B +a,” o= (16.70) -2u,E+u,”+a~ = 2&,” + u,” - 2&an c - us These linear equations are sufficient to allow the determination of the shear stress acting on each boundary segment EXERCISES 411 Solution Expressions for the shear stresses at the three types o f boundary segments may be obtained by the simultaneous solution of the equations given above for the boundary stresses The results are a: = [ Acos20 -sinOcose UF = s i n e c o s ~ a - “I u (16.71) The expression for the creep rate due t o boundary sliding is obtained by differentiating Eq 16.48, Substituting Eqs 16.66 and 16.71 into Eq 16.72 then produces the surprisingly simple result K E=-u d (16.73) The creep rate is therefore proportional t o the applied stress, and the polycrystal acts effectively as an ideally viscous material 16.3 Diffusional creep can also occur by means of the stress-motivated transport of atoms between climbing dislocations in a material This is illustrated in a highly idealized manner in Fig 16.12, where a regular array of edge dislocations possessing four different Burgers vectors is present in a stressed material The net Burgers vector content is zero The stress exerts climb forces on the dislocations so that dislocations with Burgers vectors lying along &x and &g directions act alternately as sources and sinks The arrows indicate the atomic fluxes associated with the climb Each source dislocation is surrounded by four nearest-neighbor sink dislocations, and vice versa for the sink disloca- Y t f U Figure 16.12: Idealized array of edge dislocations subjected to applied stress, u Arrows show stress-induced diffusion current around each climbing dislocation 412 CHAPTER 16: MORPHOLOGICAL EVOLUTION: DIFFUSIONAL CREEP, AND SlNTERlNG tions The climb of the dislocations in this arrangement adds atomic planes lying perpendicular to x and removes an equal number of planes lying perpendicular to y , causing the specimen to lengthen and shorten in the direction of the applied stresses Find an expression for the instantaneous quasi-steadystate creep rate of this idealized structure, assuming that the dislocations act as perfect sources or sinks Surround each dislocation by a cylindrical cell in which the diffusion to/from the dislocation is assumed to be cylindrical (see Fig 16.12), and use a mean-field approximation similar to the one used in the analysis of particle coarsening Solution The flux equation is given by Eq 13.3, and the diffusion equation in the quasi-steady state is V @= The derivation o f Eq 13.4 shows that the climb force ~ exerted on the sink dislocations will cause the value o f @ A at their core radii, R,,t o have the value (16.74) @:(sinks) =p i -ui while at the source dislocations, @:(sources) =p i +uR (16.75) A t the surface of the cell at r = L/2, we use the mean-field boundary value @A (g) =b i (16.76) The general solution of the diffusion equation in cylindrical coordinates is @ A = a1 l n r + a z , and using the boundary conditions above t o determine the constants a1 and a2, (16.77) Using the flux equation, the diffusion current into a dislocation (per unit length) is I = kt27rrJ~ =k = 27r *Du f k T ln[L/(2Ro)] (16.78) and after taking account o f the density of dislocations, the creep rate along z is IR 2LZ E=-= 7r *DR fkTLz ln[L/(2Ro)] (16.79) The creep rate is therefore proportional t o the stress and also closely proportional t o the dislocation density (i.e., L - ) 16.4 A thin-walled pure-metal pipe of inner radius R'" and outer radius Rout is heated (a) Find an expression for the quasi-steady-state rate at which it will shrink Assume that the surfaces act as perfect sources for atoms and that the interior is free of internal sources (b) An inert insoluble gas is introduced in the pipe at a pressure P Find the value of P that will stop the pipe from shrinking The external pressure is small enough so that it may be ignored EXERCISES 413 Solution (a) In the quasi-steady-state Laplace equation, V @ ( r = holds for the diffusion ) potential and Eq 13.3 holds for the diffusion flux The boundary conditions on @ a t the surfaces are (16.80) Using the solution o f the Laplace equation for diffusion in cylindrical coordinates given by Eq 5.10, fitting it t o the boundary conditions given by Eq 16.80, and employing Eq 13.3 for the flux, the total diffusion current of atoms (per unit pipe length) passing radially from R'" t o Routis I= 27r*D(@'" R k T f In(Rout/Rin) @Out) (16.81) which may be compared with Eq 5.13 Now, dRout dt RI 27rRoUt - (16.82) + and for the thin-walled pipe, 1n(Rout/Rin) ln(1 AR/Rin)x AR/(R), where = AR = Rout - Rin and Rout Rin x (R) Using these results and Eq 16.81, (16.83) (b) The internal pressure causes the diffusion potential at R'" t o be RyS/Rin R P Equation 16.81 then becomes + I= 27r*D(ain @Out) - 27r*D(P - 2ys/(R)) R k T f ln(Rout/Rin) kTf ln(Rout/Rin) @" = po - (16.84) and shrinkage will stop when P = 2yS/(R) 16.5 Suppose that a body made up of fine particles can sinter by either the crystal diffusion mechanism BS XL or the grain-boundary diffusion mechanism BS B as illustrated in Fig 16.7 How will the relative sintering rates due to these two mechanisms vary as: (a) The particle size is decreased? (b) The temperature is decreased? Solution (a) Let Ratio = sintering rate due t o grain-boundary diffusion sintering rate due t o crystal diffusion The sintering rate due t o boundary diffusion and crystal diffusion will be proportional t o *DB and *DxL, respectively The scaling laws show that the sintering rate due t o boundary diffusion will decrease by the factor A-4 when the particle size is increased by the factor A The corresponding factor for sintering by crystal 414 CHAPTER 16 MORPHOLOGICAL EVOLUTION DIFFUSIONAL CREEP, AND SlNTERlNG difFusion is X3 Therefore, (16.85) Sintering by boundary diffusion will become more important as the particle size decreases (b) Because *DB increases relative t o *DxL as the temperature decreases, sintering by boundary diffusion will become more important as the temperature decreases 16.6 Show that a scaling law holds for the sintering of a bundle of parallel wires by means of grain-boundary diffusion, which was analyzed in Section 16.1.2 Solution The rate of sintering is given by Eq 16.16 Using the formalism o f Section 16.3.4, where all dimensions in the B system are X times larger than in the S system, + % -( ~ / L B ) rateB rates - [~/(XLSX~W;)] + + 2yS(nBwi3 - sin [ ~ / ( L s w ; ) [jappy s ( n s w s - sin ] c [ ~ / ( L B w ~ [)j a p p ( I (1,'~s) {japp f)] + y S [ ( n s / ~xws - sin f]} = ) + 2yS(nsws - sin f)] (16.86) A-4 [ ~ / ( L S W ; ) []j a p p 16.7 Consider a grain boundary containing a uniform distribution of small pores (as shown in Fig 16.13) that is subjected to a normal tensile stress at a % large distance from the boundary The pores will either grow or shrink by transferring atoms via grain-boundary diffusion to or from the grain boundary acting as a sink or source, respectively, depending upon the magnitude of the applied stress Find an expression for the rate of growth of the pore volume in a form proportional to the quantity (Fapp T), where F a p p is the force applied to each pore cell (shown dashed in Fig 16.13) and T is the corresponding capillary force given by + T= 27rySR2 ( 16.87) R Construct a cylindrical cell of radius R, centered on a single pore as illustrated in Fig 16.13 and solve the diffusion problem within it using cylindrical coordinates and the same basic method employed to obtain : tttfttttttttttt I I I Grain boundary W r\ w I , I I I I I ?I l w l l l R, I l , l l l I u wircciwiicc : Figure 16.13: Distribution of pores in grain boundary subjected to tensile stress CT,"~ EXERCISES 415 the sintering rate of a bundle of parallel wires in Section 16.1.2 Assume that the pore maintains the equilibrium shape illustrated in Fig 16.14 The upper and lower surfaces are spherical with curvature -2/R Figure 16.14: Cross section of equilibrium shape of pore on grain boundary as in Fig 16.13, assuming that yB/ys = 1/3, so that 6' = 9.6" R is the radius of curvature of the top and bottom surfaces The cross section in the grain-boundary plane is a circle of radius R cos 6' Solution Equation 16.3 applies and therefore d V2unn = constant = A = - r dr (r da,, dr ) - (16.88) Integrating twice and applying the boundary conditions corresponding t o I%[ and Eq 16.4 r=R, u n n =4 [ ( r - R c o s ) + R ~ l n A (16.89) (16.90) A is now obtained by applying the integral force condition given by Eq 16.5 and using the curvature relation n = -2/R Therefore, A=- T { R: [41n (&) - 8(Faw + 31 R cos2 8(4R," - R2 cos2 O)} + (16.91) with T given by (16.92) and Fapp ~Rza: = The rate a t which volume is transferred t o the pore by grainboundary diffusion is then _ dV _ dt 02GDB~(Rz R2 cos2 6') A kT (16.93) 416 CHAPTER 16: MORPHOLOGICAL EVOLUTION: DIFFUSIONAL CREEP, AND SINTERING + and dV/dt is seen t o be proportional t o (Fapp T) 16.8 Since pore shrinkage is driven by a decrease in interfacial energy, it may be expected on general principles that the capillary force, T,must correspond to dGI T=-(16.94) dL where dGI is the change in the total interfacial energy of the system and dL is the corresponding change in its length produced by the pore shrinkage Now demonstrate that Eq 16.94 is indeed obeyed for the shrinkage of the pores on the grain boundary considered in Exercise 16.7, where T was found to equal - 27rySR,2/ R The volume and area of the pore (shown in detail in Fig 16.14) are given by V = - n ~ (2 - 3cose + sin3 e) A =4.rrR2(1 -sine) (16.95) Solution Focus on one cell as illustrated in Fig 16.13 and take the cell height t o be L Using Eq 16.95, the total interfacial energy of the cell is given by Gr = 4.rrR2(1- sinB)yS + x(RZ - R2 cos2B ) y B (16.96) dR - 4( - sin e)] - (16.97) Then, since sine = yB/(2yS), -dGr = 27rySR[2sin cos2 dL dL However, the volume in the cell must remain constant, so rrR~L-*(2-3cosB+sin30) and dR -dL =O R: 2R2(2 - 3cosQ sin3 0) + (16.98) (16.99) Substituting Eq 16.99 into Eq 16.97 and employing Eq 16.94, dGI dL -f= = 2nySR:[sin8cos28 - ( -sine)] - _- 27rySR,2 R(2 - cos sin3 0) R in agreement with Eq 16.92 + (16,100) PART IV PHASE TRANS FORMATI0 NS Phase transformations are of central importance in materials science and engineering An understanding of the thermodynamics of phase equilibria is the foundation for understanding their kinetics Necessary conditions for equilibrium include: uniformity and equality of the diffusion potential for each chemical species that can be exchanged between the phases; equality of temperature; and equality of pressure if the two phases can freely exchange volume.16 Deviations from these equilibrium conditions set the stage for kinetic processes Parts I1 and I11 chiefly treated kinetic processes that derived from nonuniformity of a potential, such as chemical potential or temperature, within a single phase Phase transformations occur when a region of the material can reduce the total free energy by changing its symmetry, equilibrium composition, equilibrium density, or any other quantity that defines a phase The transforming material portion may be adjacent to its prospective phase, which is the case for growth of a new phase; or the portion may be isolated, which is the case for nucleation of a new phase In any case, the spatial variation of '%rict equality of pressure is required absent capillarity effects: if a deforming heterophase interface stores energy during volume transfer, the two phases will have an equilibrium pressure difference the phase-defining quantities-order parameters-permit a convenient means to identify heterophase interfaces The definition of what constitutes a phase is troublesome Gibbs required 40 pages of preamble before introducing phase with ‘‘such bodies as differ in composition or state, different phases of the matter considered, regarding all bodies which differ only in quantity and form as different examples of the same phase’’ [l] This clearly eliminates two bodies that are identical except for their morphology and size-and perhaps one may credit Gibbs with the foresight to exclude crystallographic misorientation and symmetry operations from distinguishing phases However, special cases, such as the distinction of a nearly cubic tetragonal variant from a strained cubic phase, must be handled carefully Contiguous phases must be separated by an interface, and therefore considerations of interface and morphological evolution play a role in phase transformation kinetics However, every interface need not separate two phases-grain and antiphase boundaries separate crystallographic or symmetric variants of a single phase Nevertheless, it is instructive to treat such interface motion-where a single phase alters its orientation-analogously with phase transformations Such a treatment naturally introduces two different kinds of order parameters Regions of material defined by one kind of order parameter-such as spin density, symmetry, and orientation-may alter without a corresponding flux Such flux-less order parameters are called nonconserved variables Conserved variables, such as composition, require flux for a material to change locally The thermodynamics of phase equilibria is reviewed in Chapter 17 and the fundamental thermodynamic differences between conserved and nonconserved order parameters are reinforced with a geometrical construction These order parameters are used in the kinetic analyses of continuous and discontinuous phase transformat ions Continuous transformations are treated in detail in Chapter 18 Spinodal decomposition and certain types of order-disorder transformations follow from similar principles but differ only in the kinetics of conserved and nonconserved variables The remainder of the book treats discontinuous transformations Nucleation, which is necessary for the production of a new phase, is treated in Chapter 19 The growth of new phases under diffusion- and interface-limited conditions is treated in Chapter 20 Concurrent nucleation and growth is treated in Chapter 21 Specific examples of discontinuous transformations are discussed in detail; these include solidification (Chapter 22), precipitation from solid solution (Chapter 23), and martensite formation (Chapter 24) Bibliography J.W Gibbs On the equilibrium of heterogeneous substances (1876) In Collected Works,volume Longmans, Green, and Co., New York, 1928 CHAPTER 17 GENERAL FEATURES OF PHASE TRANS FORMAT10 NS The conditions under which a portion of a material system will undergo a phase transformation are determined by the system’s current and equilibrium thermodynamic states The equilibrium state is distinguished by the minimum of an energy function that is particular to physical constraints imposed on the system For instance, under conditions of constant temperature, T, and applied pressure, P, if the total energy quantity Q U - TS + PV F + PV 3-1 - TS (17.1) can be decreased via any internal change in the system, the system is thermodynamically unstable with respect to that change, however large If Q cannot be decreased by any possible small variation, the system is in local equilibrium; if Q achieves its global minimum, the system will remain in complete equilibrium as long as it is constrained to the same constant P and T Under different constraints, other minimizing energy functionals can be derived through Legendre transformations The necessary conditions for a spontaneous phase transformation relate directly to the system’s energy differences upon transformation In addition to the transformed volume’s chemical-energy change, its interfacial energy and the elastic energy to accommodate interfacial misfit contribute to the total free-energy change Calculations of energy differences are simplified when the host material can be a p proximated as a reservoir with constant properties, so that the transformed volume and its interface need to be considered Kinetics of Materials By Robert W Balluffi, Samuel M Allen, and W Craig Carter Copyright @ 2005 John Wiley & Sons, Inc 419 420 CHAPTER 17: GENERAL FEATURES OF PHASE TRANSFORMATIONS If in addition to a thermodynamic driving force, a system has kinetic mechanisms available to produce a phase transformation (e.g., diffusion or atomic structural relaxation), the rate and characteristics of phase transformations can be modeled through combinations of their cause (thermodynamic driving forces) and their kinetic mechanisms Analysis begins with identification of parameters (i.e., order parameters) that characterize the internal variations in state that accompany the transformation For example, site fraction and magnetization can serve as order parameters for a ferromagnetic crystalline phase Analysis proceeds by considering the temporal evolution of small variations in order parameter fields However, a variation may be “small” in different ways J Willard Gibbs distinguished between a variation that “initially is small in degree, but may be great in its extent in space” and one that is “initially small in extent but great in degree” [l] In the context of phase transformations, degree applies to the magnitude of an order parameter that characterizes a phase-specifically, whether it may vary continuously or not Extent refers to the spatial region over which such variation occurs-specifically, whether the change is confined to a (typically small) finite material portion or throughout the entire material system Gibbs’s classification serves as the fundamental basis for division of phase transformation processes into two broad categories: continuous phase transformations and discontinuous phase transformations During a continuous transformation, order parameter fields evolve smoothly in time and evolution is not confined to a small region Discontinuous transformations initiate with an abrupt variation in an order parameter field and are localized events (i.e., they involve nucleation) Subsequent to initiation, phase transformations can continue by growth, which occurs as host material adjacent to the interface transforms into the new phase Growth is treated in Chapter 21 After driving forces for growth have been exhausted, the system can continue to evolve by coarsening through reducing the energetic contribution from interfaces at constant phase fraction (Chapter 15) Model energy functionals will be obtained through consideration of the energetic contribution of order parameter fields, and this is preceded by a survey of order parameters 17.1 ORDER PARAMETERS 17.1.1 One-Component or Fixed Stoichiometry Systems Figure 17.1 shows the molar free energy, F , as a function of temperature for a pure, or stoichiometric, material at fixed volume The material has a first-order phase transformation at the temperature where the molar free energies cross The equilibrium free energy is a function of temperature only The corresponding order parameter, E , which is also a function of T as illustrated in Fig 17.lb, is a subsidiary parameter introduced by the series expansion (17.2) commonly known as a Landau expansion [ , ] The physical quantity corresponding to E might be a molar heat capacity, enthalpy density, or any derivative of the molar free energy and its metastable extensions F is taken as a function of both T and E At any temperature, the equilibrium value of 5, Eeq(T), determined from the is 17 ORDER PARAMETERS 421 (a) Molar free energy as a function of temperature for a melting transition (b) Temperature dependence of an order parameter for the transition in (a) Figure 17.1: condition (17.3) and using Eq 17.2, the equilibrium free energy, Feq, can be expressed as a function Ceq(T)], [(Z) - p becomes a measure of the and q of T alone, in the form Feq [T, local departure from equilibrium The function F ( T ,[) defined in Eq 17.2 can be used t o model the free energies of systems that are in the process of moving toward equilibrium-i.e., undergoing a phase transformation represented by particular values of [ Introduced in this manner, the order parameter, E , is a “hidden” thermodynamic variable: its equilibrium values, cq(T), not independent but are fixed are by Eq 17.3 Therefore, an order parameter is characteristic of the transformation process because it cannot be fixed by an experimental condition Whether the phase transition is first- or second-order depends on the relative magnitudes of the coefficients in the Landau expansion, Eq 17.2 For a firstorder transition, the free energy has a discontinuity in its first derivative, as at the temperature T, in Fig 17.la, and higher-order derivative quantities, such as heat capacity, are unbounded In second-order transitions, the discontinuity occurs in the second-order derivatives of the free energy, while first derivatives such as entropy and volume are continuous at the transition The order of a transition can be illustrated for a fixed-stoichiometry system with the familiar P-T diagram for solid, liquid, and vapor phases in Fig 17.2 The curves in Fig 17.2 are sets of P and T at which the molar volume, V , has two distinct equilibrium values-the discontinuous change in molar volume as the system’s equilibrium environment crosses a curve indicates that the phase transition is first order Critical points where the change in the order parameter goes to zero (e.g., at the end of the vapor-liquid coexistence curve) are second-order transitions Connections to other types of phase diagrams can be obtained if order parameters are exchanged for intensive variables Figure 17.2 is replotted with the order parameter V as the ordinate in Fig 17.3b The diagram predicts the phases that would exist for a molar volume fixed by a rigid container at different temperatures The tie-lines connect equilibrium molar volumes at the same temperature 422 CHAPTER 17: GENERAL FEATURES OF PHASE TRANSFORMATIONS (4 fn I n 9? Gas (vapor) n Temperature, T Temperature, T Figure 17.2: (a) Single-component phase diagram (b) Shading represents the equilibrium value of a molar extensive quantity such as molar volume V (i.e light gray represents a large value and dark gray a small value) that apply to each phase at that particular P and T For phase transitions the grayscale (or V )could be used as an order parameter indicating phase and pressure An analog to a ternary diagram could be obtained by substituting molar entropy for the T-axis in Fig 17.3 Order parameters may also refer to underlying atomic structure or symmetry For example, a piezoelectric material cannot have a symmetry that includes an inversion center To model piezoelectric phase transitions, an order parameter 7, could be associated with the displacement of an atom in a fixed direction away from a crystalline inversion center Below the transition temperature T,, the molar Gibbs free energy of a crystal can be modeled as a Landau expansion in even powers of 11 (because negative and positive displacements, , must have the same contribution to molar energy) with coefficients that are functions of fixed temperature and pressure, G(T,P, 77) = G,(T, P ) + a ( P ) ( T - TC)q2 + B(P)v4 (17.4) The equilibrium state is entirely determined by the minima of G as a function of pressure and temperature The equilibrium order parameter qeq is determined by the minima of G and the equilibrium molar free energy can be calculated explicitly (17.5) a Temperature, T Temperature, T Figure 17.3: (a) Single-component P-T phase diagram (b) Phase diagram obtained from ( a ) by plotting the molar volume, V ,as an order parameter in place of pressure The grayscale could indicate variations in an order parameter such as S 17.1: ORDER PARAMETERS 423 where Eq 17.6 is the free-energy change when a mole undergoes a phase transformation from the nonpiezoelectric phase ( r ] = 0) to a piezoelectric phase (q2 0) Atomic displacements of opposite sign, &r], correspond to different polarizations of the same piezoelectric phase Naturally, the fixed composition phase transformations treated in this section can be accompanied by local fluctuations in the composition field Because of the similarity of Fig 17.3 to a binary eutectic phase diagram, it is apparent that composition plays a similar role to other order parameters, such as molar volume Before treating the composition order parameter explicitly for a binary alloy, a preliminary distinction between types of order parameters can be obtained Order parameters such as composition and molar volume are derived from extensive variables; any kinetic equations that apply for them must account for any conservation principles that apply t o the extensive variable Order parameters such as the atomic displacement r] in a piezoelectric transition, or spin in a magnetic transition, are not subject to any conservation principles Fundamental differences between conserved and nonconserved order parameters are treated in Sections 17.2 and 18.3 17.1.2 Two-Component Systems For a binary A-B alloy, another independent parameter, X B (or X A = - X B ) must be added to the fixed-stoichiometry order parameters in the preceding section The phenomenological form of the Landau expansion, Eq 17.2, can be extended t o include X B and has been used to catalog the conditions for many transitions in two-component systems [3] The methods of constructing homogeneous molar free energies for phase diagrams can also be used to construct first-order approximations of free-energy densities when a composition order parameter field is heterogeneous Multicomponent phase diagrams can be accurately predicted from empirical, computed, or theoretical models of the composition dependence of molar enthalpies and entropies of formation and mixing Macroscopic models for molar free energies of mixing can be obtained from combinations of atomistic bond energies, crystal structure, and configurational and vibrational entropy A simple example of ordering or clustering of an A-B alloy on a b.c.c lattice illustrates how composition and structural order parameters arise naturally in the construction of the homogeneous molar free energy Decomposition and Order-Disorder Transformations on a B.C.C Lattice Suppose that two species, A and B , occupy a b.c.c lattice If unlike bonds have lower molar enthalpies than like bonds [i.e., HAB < ~ ( H A A H B B ) ] ,then at low temperatures, ordered structures result in which the nearest-neighbors of A atoms are + 'In this section, the terms ordered structures, order parameters, and ordering transformations appear and may present some confusion Unfortunately, these historic terms are in common use An ordered structure typically indicates a regular site occupation pattern at the microscopic scale Ordering transformations are those associated with such regular microscopic patterns Order parameters are coarse-grained measures that collectively indicate phase plus additional information indicating geometric configurations of the same phase-for example, at antiphase boundaries 424 CHAPTER 17 GENERAL FEATURES OF PHASE TRANSFORMATIONS predominately B atoms.2 At high temperatures, disordered structures should appear because of the significant entropic contributions of the numerous disordered configurations but at the expense of slightly increased molar enthalpies In this case, the high-temperature phase is b.c.c (A2, in Structurbericht notation) and, on cooling, there is a phase transition to the B2 structure (primitive-cubic ionic CsCl is the prototype of the B2 structure shown in Fig 17.4) At this phase transition, there is a decrease of symmetry on the transformation to the ordered phase-the a/2(111) translational symmetry of the A2 phase is lost An order parameter that indicates this symmetry loss would be a candidate to characterize an order-disorder transition on the b.c.c lattice An example of a structure that undergoes such an ordering transformation is P-brass (a Cu-Zn alloy) Figure 17.4: B2 ordering on a b.c.c lattice where grayscale is associated with the composition at each site B2 is a particular type of microscupic urcleriiig (of which CsCl is the prototype); the compositions are the same on all a-planes but differ from the composition on all the &planes Considering Fig 17.4, the development of the B2 structure creates two sublattices from the original A2 structure One of the B2 sublattices consists of the b.c.c unit-cell centers (indicated by ,B in Fig 17.4) are displaced from the b.c.c corners ( a in Fig 17.4) by u/2(111) An ordering transformation produces sublattices, (Y and p, with differing site fractions, x$ and Their difference becomes a structural order parameter: & q=- XS-XP 2( l (17.7) evolves from zero toward equilibrium finite values *qeq Symmetric stable values exist because the b.c.c corner sites are equivalent to the b.c.c center sites-any result must be invariant to exchange of Q with p sublattices Compositions on the two sublattices must be coupled to the local average composition, (17.8) T h e molar enthalpy and the molar internal energy of bonding, H A B and U A B ,are related to the bond energies E A B at constant pressure and a t constant volume, respectively ... analysis of capillary force in liquid-phase sintering of spherical particles Metall Trans., 1(1):18 5-1 89, 1970 J.W Cahn and R.B Heady Analysis of capillary force in liquid-phase sintering of jagged particles... SOC., 53(7):40 6-4 09, 1970 W.C Carter The forces and behavior of fluids constrained by solids Actu Metall., 36(8):228 3-2 292, 1988 16.3:SlNTERlNG 407 R.M Cannon and W.C Carter Interplay of sintering... 82(16):299 5-3 011, 2002 29 W.D Kingery and M Berg Study of the initial stages of sintering solids by viscouus flow, evaporation-condensation, and self-diffusion J Appl Phys., 26( 10):120 5-1 212, 1955